TE - Artículos
Envíos recientes
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Brain-computer interface (BCI)-generated speech to control domotic devices
(Elseiver, 2022-10-14) -
On the heterogeneity of existing repositories of movements intended for the evaluation of fall detection systems
(Wiley, 2020)Due to the serious impact of falls on the autonomy and health of older people, the investigation of wearable alerting systems for the automatic detection of falls has gained considerable scientific interest in the field ... -
Consumption analysis of smartphone based fall detection systems with multiple external wireless sensors
(MDPI, 2020)Fall Detection Systems (FDSs) based on wearable technologies have gained much research attention in recent years. Due to the networking and computing capabilities of smartphones, these widespread personal devices have been ... -
A study on the application of convolutional neural networks to fall detection evaluated with multiple public datasets
(MDPI, 2020)Due to the repercussion of falls on both the health and self-sufficiency of older people and on the financial sustainability of healthcare systems, the study of wearable fall detection systems (FDSs) has gained much attention ... -
A study of the use of gyroscope measurements in wearable fall detection systems
(MDPI, 2020)Due to the serious impact of falls on the quality of life of the elderly and on the economical sustainability of health systems, the study of new monitoring systems capable of automatically alerting about falls has gained ... -
A feasibility study of the use of smartwatches in wearable fall detection systems
(MDPI, 2021)Over the last few years,the use of smartwatches in automatic Fall Detection Systems (FDSs) has aroused great interest in the research of new wearable telemonitoring systems for the elderly. In contrast with other approaches ... -
A study of one-class classification algorithms for wearable fall sensors
(MDPI, 2021)In recent years, the popularity of wearable devices has fostered the investigation of automatic fall detection systems based on the analysis of the signals captured by transportable inertial sensors. Due to the complexity ... -
A study on the impact of the users’ characteristics on the performance of wearable fall detection systems
(Nature Research, 2021)Wearable Fall Detection Systems (FDSs) have gained much research interest during last decade. In this regard, Machine Learning (ML) classifiers have shown great efficiency in discriminating falls and conventional movements ... -
Wearable fall detectors based on low power transmission systems: a systematic review
(MDPI, 2024-09-13)Early attention to individuals who suffer falls is a critical aspect when determining the consequences of such accidents, which are among the leading causes of mortality and disability in older adults. For this reason and ... -
UMA-BCI Speller: An easily configurable P300 speller tool for end users
(Elseiver, 2019-04)Some neurodegenerative conditions can severely limit patients' capability to communicate because of the loss of muscular control. Brain-computer interfaces may help in the restoration of communication with these patients, ... -
Sistema domótico controlado a través de una interfaz cerebro-ordenador
(Universitat Politècnica de València, 2023-03-31)Las interfaces cerebro-ordenador (BCI, de brain-computer interface) permiten utilizar la actividad cerebral de un usuario como canal de comunicación para interactuar con determinados dispositivos. Sin embargo, adaptar los ... -
Evaluation of different types of stimuli in an Event-Related Potential-based Brain–Computer Interface Speller under Rapid Serial Visual Presentation
(MDPI, 2024-05-22)Rapid serial visual presentation (RSVP) is currently a suitable gaze-independent paradigm for controlling visual brain–computer interfaces (BCIs) based on event-related potentials (ERPs), especially for users with limited ... -
Brain–Computer Interface (BCI) control of a virtual assistant in a smartphone to manage messaging applications
(MDPI, 2021-05-26)Brain–computer interfaces (BCI) are a type of assistive technology that uses the brain signals of users to establish a communication and control channel between them and an external device. BCI systems may be a suitable ... -
Performance analysis with different types of visual stimuli in a BCI-Based Speller under an RSVP paradigm
(Frontiers Media, 2021-01-05)Brain-Computer Interface (BCI) systems enable an alternative communication channel for severely-motor disabled patients to interact with their environment using no muscular movements. In recent years, the importance of ... -
P300-Based Brain-Computer Interface Speller: usability evaluation of three speller sizes by severely motor-disabled patients
(Frontiers Media, 2020-10-29)Brain-computer interface (BCI) spellers allow severe motor-disabled patients to communicate using their brain activity without muscular mobility. Different visual configurations of the widely studied P300-based BCI speller ... -
Brain-Computer Interface application: auditory serial interface to control a two-class motor-imagery-based wheelchair
(Biomed Central, 2017-05-30)Background Certain diseases affect brain areas that control the movements of the patients’ body, thereby limiting their autonomy and communication capacity. Research in the field of Brain-Computer Interfaces aims to provide ... -
Evaluation of switch and continuous navigation paradigms to command a brain-controlled wheelchair
(Frontiers Media, 2018-06-28)A brain-computer interface (BCI) is a technology allowing patients with severe motor dysfunctions to use their electroencephalographic signals to create a communication channel to control devices. The objective of this ... -
Fast gesture recognition based on a two-level representation.
(Elsevier, 2009-10-01)Towards developing an interface for human–robot interaction, this paper proposes a two-level approach to recognise gestures which are composed of trajectories followed by different body parts. In a first level, individual ... -
Real-time object tracking using bounded irregular pyramids.
(Elsevier, 2007)Target representation and localization is a central component in visual object tracking. In this paper a new approach for target representation and localization is presented. This approach tackles two of the most important ... -
Pyramid segmentation algorithms revisited.
(Elsevier, 2006-08)The main goal of this work is to compare pyramidal structures proposed to solve segmentation tasks. Segmentation algorithms based on regular and irregular pyramids are described, together with the data structures and ...